SOTAVerified

RGB-D Salient Object Detection

RGB-D Salient object detection (SOD) aims at distinguishing the most visually distinctive objects or regions in a scene from the given RGB and Depth data. It has a wide range of applications, including video/image segmentation, object recognition, visual tracking, foreground maps evaluation, image retrieval, content-aware image editing, information discovery, photosynthesis, and weakly supervised semantic segmentation. Here, depth information plays an important complementary role in finding salient objects. Online benchmark: http://dpfan.net/d3netbenchmark.

( Image credit: Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks, TNNLS20 )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–88 of 88 papers

TitleStatusHype
Uncertainty Inspired RGB-D Saliency DetectionCode1
Siamese Network for RGB-D Salient Object Detection and BeyondCode1
Progressively Guided Alternate Refinement Network for RGB-D Salient Object DetectionCode1
Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object DetectionCode0
Cascade Graph Neural Networks for RGB-D Salient Object DetectionCode1
Knowing Depth Quality In Advance: A Depth Quality Assessment Method For RGB-D Salient Object DetectionCode0
Depth Quality Aware Salient Object DetectionCode1
BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy NetworkCode1
RGB-D Salient Object Detection: A SurveyCode1
Accurate RGB-D Salient Object Detection via Collaborative LearningCode1
RGB-D Salient Object Detection with Cross-Modality Modulation and SelectionCode1
A Single Stream Network for Robust and Real-time RGB-D Salient Object DetectionCode1
Hierarchical Dynamic Filtering Network for RGB-D Salient Object DetectionCode1
Multi-level Cross-modal Interaction Network for RGB-D Salient Object Detection—0
Cross-Modal Weighting Network for RGB-D Salient Object DetectionCode1
Bifurcated backbone strategy for RGB-D salient object detectionCode1
Learning Selective Self-Mutual Attention for RGB-D Saliency DetectionCode1
Select, Supplement and Focus for RGB-D Saliency DetectionCode1
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object DetectionCode1
Is Depth Really Necessary for Salient Object Detection?Code1
Bilateral Attention Network for RGB-D Salient Object DetectionCode1
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object DetectionCode1
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational AutoencodersCode1
Density Map Guided Object Detection in Aerial ImagesCode1
DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object DetectionCode1
cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial NetworksCode0
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency DetectionCode0
CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse—0
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale BenchmarksCode1
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object DetectionCode0
2D Car Detection in Radar Data with PointNets—0
Adaptive Fusion for RGB-D Salient Object DetectionCode0
Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object DetectionCode0
PDNet: Prior-model Guided Depth-enhanced Network for Salient Object DetectionCode0
Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features—0
RGB-D Salient Object Detection Based on Discriminative Cross-modal Transfer Learning—0
RGBD Salient Object Detection via Deep Fusion—0
Local Background Enclosure for RGB-D Salient Object Detection—0
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.